SEO Company India: Latent Semantic Indexing (LSI) Based SEO Service Provider

Latent Semantic Indexing functions in a matrix, a method of linear algebra, and is a technical way of analyzing relevant information from different documents and linking them up together. Latent semantic indexing is a mathematical approach based on statistical analysis that is applied to the document indexing process. LSI goes beyond the usual keyword search results from a search engine. In addition to considering the particular keyword in the indexing process, LSI looks at the document as a whole. In what appears as an intelligent analysis it selects other documents that not only contain the same keywords but also those that contain semantically close or similar textual matter.  Thus the search engine has the most relevant and well written informative pages on its first page.

These apparently intelligent connections are artifacts of word use patterns that already exist in the set of documents. In reality LSI has no insight into the meaning of the documents or words it analyzes. It just scans the pattern of the usage of certain words and statistically evaluates the correlation of their use. It thus determines their correlation with a particular subject or text. It is thus a powerful, generic tool that can index any relevant group of documents in any language. LSI focuses on the various keywords of the text collectively and not just on a single keyword.

LSI not only studies a document for keywords and includes it in the database it also studies a number of relevant documents and picks out words and phrases that are common or similar in meaning between these documents. Further it scans other documents to index them according to their semantic closeness with the relevant text or subject. Unlike regular keyword searches, LSI can determines how similar a document is to another or how relevant to the search topic it is. LSI thus estimates this interdependence and evaluates the relevance of a document on a scale of 0 to 1.

As a result of LSI the data retrieved by the search engine includes clusters of documents and will even often show up relevant documents that do not contain the keyword at all.